Li Yao
State Key Laboratory Of Cognitive Neuroscience And Learning
Beijing, 100875, China
Beijing, 100875, China
Last Updated: 09/26/2026
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Found 26 publications
The Coupled Representation of Hierarchical Features for Mild Cognitive Impairment and Alzheimer's Disease Classification.
Journal: Frontiers in neuroscience
Published: March 23, 2022
Improved dynamic functional connectivity estimation with an alternating hidden Markov model.
Journal: Cognitive neurodynamics
Published: March 11, 2022
A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease.
Journal: IEEE/ACM transactions on computational biology and bioinformatics
Published: August 24, 2021
Combinations of Multiple Neuroimaging Markers using Logistic Regression for Auxiliary Diagnosis of Alzheimer Disease and Mild Cognitive Impairment.
Journal: Neuro-degenerative diseases
Published: October 06, 2017
Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
Journal: Frontiers in computational neuroscience
Published: September 15, 2017
Structural Brain Network Changes across the Adult Lifespan.
Journal: Frontiers in aging neuroscience
Published: June 07, 2017
Aberrant Connectivity in Mild Cognitive Impairment and Alzheimer Disease Revealed by Multimodal Neuroimaging Data.
Journal: Neuro-degenerative diseases
Published: January 26, 2017
Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment.
Journal: Computer methods and programs in biomedicine
Published: November 27, 2016
Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model.
Journal: Frontiers in human neuroscience
Published: September 12, 2016
Last Updated: 09/26/2026